Gemini at Work 2025 (blog.google)

Google today unveiled Gemini Enterprise, a new Google Cloud offering that positions Gemini models as the “front door” for AI in the workplace. Built to connect company information to models, Gemini Enterprise enables collaboration and task automation via agent-style workflows and integrates with Workspace and other Google tools. The announcement also highlights updates to Workspace and a new hub for learning AI skills, signaling an end-to-end push to put Google’s AI capabilities into everyday employee workflows. For the AI/ML community, Gemini Enterprise matters because it crystallizes how large pretrained models will be operationalized at scale inside enterprises: as data-connected agents that automate tasks, surface company knowledge, and augment workers across roles. Technical implications include emphasis on secure data connectors, model-to-data orchestration, agent design patterns, and enterprise-grade governance and observability. Engineers and researchers should watch for new APIs, integration patterns with Workspace, and how Google balances customization, privacy, and compliance while deploying Gemini models in corporate environments—areas likely to drive tooling, benchmarks, and best practices for production AI.